This paper describes the MediaEval 2021 Predicting Media Memorability task, which is in its 4th edition this year, as the prediction of short-term and long-term video memorability remains a challenging task. In 2021, two datasets of videos are used: first, a subset of the TRECVid 2019 Video-to-Text dataset; second, the Memento10K dataset in order to provide opportunities to explore cross-dataset generalisation. In addition, an Electroencephalography (EEG)-based prediction pilot subtask is introduced. In this paper, we outline the main aspects of the task and describe the datasets, evaluation metrics, and requirements for participants’ submissions
| openaire: EC/H2020/780069/EU//MeMADThis paper describes a multimodal approach proposed by the MeMA...
This paper outlines 6 approaches taken to computing video memorability, for the MediaEval media ...
Memorability, defined as the quality of being worth remembering, is a pressing issue in media as we ...
This paper describes the MediaEval 2021 Predicting Media Memorability task, which is in its 4th edit...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the 5th edition of the \textit{Predicting Video Memorability Task} as part of M...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2...
In this paper, we present the Predicting Media Memorability task, which is proposed as part of the M...
| openaire: EC/H2020/780069/EU//MeMADIn this paper, we present the Predicting Media Memorability tas...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
The Predicting Media Memorability task in the MediaEval evaluation campaign has been running annuall...
This paper describes our approach to the Predicting Media Memorability task in MediaEval 2021, which...
The aim of the Memorability-EEG pilot subtask at MediaEval'2021 is to promote interest in the use of...
The aim of the Memorability-EEG pilot subtask at MediaEval’2021 is to promote interest in the use of...
| openaire: EC/H2020/780069/EU//MeMADThis paper describes a multimodal approach proposed by the MeMA...
This paper outlines 6 approaches taken to computing video memorability, for the MediaEval media ...
Memorability, defined as the quality of being worth remembering, is a pressing issue in media as we ...
This paper describes the MediaEval 2021 Predicting Media Memorability task, which is in its 4th edit...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the 5th edition of the \textit{Predicting Video Memorability Task} as part of M...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2...
In this paper, we present the Predicting Media Memorability task, which is proposed as part of the M...
| openaire: EC/H2020/780069/EU//MeMADIn this paper, we present the Predicting Media Memorability tas...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
The Predicting Media Memorability task in the MediaEval evaluation campaign has been running annuall...
This paper describes our approach to the Predicting Media Memorability task in MediaEval 2021, which...
The aim of the Memorability-EEG pilot subtask at MediaEval'2021 is to promote interest in the use of...
The aim of the Memorability-EEG pilot subtask at MediaEval’2021 is to promote interest in the use of...
| openaire: EC/H2020/780069/EU//MeMADThis paper describes a multimodal approach proposed by the MeMA...
This paper outlines 6 approaches taken to computing video memorability, for the MediaEval media ...
Memorability, defined as the quality of being worth remembering, is a pressing issue in media as we ...